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<p><code>#include &lt;<a class="el" href="_convolution_layer_dataset_8h_source.xhtml">ConvolutionLayerDataset.h</a>&gt;</code></p>
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Data Structures</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset_1_1iterator.xhtml">iterator</a></td></tr>
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Public Types</h2></td></tr>
<tr class="memitem:aa29c9ab44036acf654b39611cee4b024"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#aa29c9ab44036acf654b39611cee4b024">type</a> = std::tuple&lt; <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &gt;</td></tr>
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<tr class="memitem:a2fcbf5359798ec294d009f286fd802e6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset_1_1iterator.xhtml">iterator</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">begin</a> () const </td></tr>
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<tr class="memitem:ab8e4e3e2a7bf18888b71bdf9dda0770b"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#ab8e4e3e2a7bf18888b71bdf9dda0770b">size</a> () const </td></tr>
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<tr class="memitem:a3f1ddb8fe464be68a02cc1b81ee5e3e7"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a> (<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> src, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> weights, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> biases, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> dst, <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> info)</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
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<p>Definition at line <a class="el" href="_convolution_layer_dataset_8h_source.xhtml#l00038">38</a> of file <a class="el" href="_convolution_layer_dataset_8h_source.xhtml">ConvolutionLayerDataset.h</a>.</p>
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          <td class="memname">using <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#aa29c9ab44036acf654b39611cee4b024">type</a> =  std::tuple&lt;<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>&gt;</td>
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<p>Definition at line <a class="el" href="_convolution_layer_dataset_8h_source.xhtml#l00041">41</a> of file <a class="el" href="_convolution_layer_dataset_8h_source.xhtml">ConvolutionLayerDataset.h</a>.</p>

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          <td class="memname">void add_config </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&#160;</td>
          <td class="paramname"><em>src</em>, </td>
        </tr>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&#160;</td>
          <td class="paramname"><em>weights</em>, </td>
        </tr>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&#160;</td>
          <td class="paramname"><em>biases</em>, </td>
        </tr>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&#160;</td>
          <td class="paramname"><em>dst</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>&#160;</td>
          <td class="paramname"><em>info</em>&#160;</td>
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          <td></td>
          <td>)</td>
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<p>Definition at line <a class="el" href="_convolution_layer_dataset_8h_source.xhtml#l00103">103</a> of file <a class="el" href="_convolution_layer_dataset_8h_source.xhtml">ConvolutionLayerDataset.h</a>.</p>

<p>Referenced by <a class="el" href="_alex_net_convolution_layer_dataset_8h_source.xhtml#l00054">AlexNetConvolutionLayerDataset::AlexNetConvolutionLayerDataset()</a>, <a class="el" href="_alex_net_convolution_layer_dataset_8h_source.xhtml#l00067">AlexNetDirectConvolutionLayerDataset::AlexNetDirectConvolutionLayerDataset()</a>, <a class="el" href="_alex_net_convolution_layer_dataset_8h_source.xhtml#l00043">AlexNetWinogradLayerDataset::AlexNetWinogradLayerDataset()</a>, <a class="el" href="_direct_convolution_layer_dataset_8h_source.xhtml#l00044">DirectConvolutionLayerDataset::DirectConvolutionLayerDataset()</a>, <a class="el" href="_goog_le_net_inception_v1_convolution_layer_dataset_8h_source.xhtml#l00072">GoogLeNetInceptionV1ConvolutionLayerDataset::GoogLeNetInceptionV1ConvolutionLayerDataset()</a>, <a class="el" href="_goog_le_net_inception_v1_convolution_layer_dataset_8h_source.xhtml#l00179">GoogLeNetInceptionV1DirectConvolutionLayerDataset::GoogLeNetInceptionV1DirectConvolutionLayerDataset()</a>, <a class="el" href="_goog_le_net_inception_v1_convolution_layer_dataset_8h_source.xhtml#l00044">GoogLeNetInceptionV1WinogradLayerDataset::GoogLeNetInceptionV1WinogradLayerDataset()</a>, <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml#l00065">GoogLeNetInceptionV4ConvolutionLayerDataset::GoogLeNetInceptionV4ConvolutionLayerDataset()</a>, <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml#l00151">GoogLeNetInceptionV4DirectConvolutionLayerDataset::GoogLeNetInceptionV4DirectConvolutionLayerDataset()</a>, <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml#l00044">GoogLeNetInceptionV4WinogradLayerDataset::GoogLeNetInceptionV4WinogradLayerDataset()</a>, <a class="el" href="_large_convolution_layer_dataset_8h_source.xhtml#l00043">LargeConvolutionLayerDataset::LargeConvolutionLayerDataset()</a>, <a class="el" href="_le_net5_convolution_layer_dataset_8h_source.xhtml#l00043">LeNet5ConvolutionLayerDataset::LeNet5ConvolutionLayerDataset()</a>, <a class="el" href="_small_convolution_layer_dataset_8h_source.xhtml#l00061">SmallConvolutionLayerDataset::SmallConvolutionLayerDataset()</a>, <a class="el" href="_small_convolution_layer_dataset_8h_source.xhtml#l00043">SmallWinogradLayerDataset::SmallWinogradLayerDataset()</a>, <a class="el" href="_squeeze_net_convolution_layer_dataset_8h_source.xhtml#l00059">SqueezeNetConvolutionLayerDataset::SqueezeNetConvolutionLayerDataset()</a>, <a class="el" href="_squeeze_net_convolution_layer_dataset_8h_source.xhtml#l00043">SqueezeNetWinogradLayerDataset::SqueezeNetWinogradLayerDataset()</a>, <a class="el" href="_tiny_convolution_layer_dataset_8h_source.xhtml#l00043">TinyConvolutionLayerDataset::TinyConvolutionLayerDataset()</a>, <a class="el" href="_v_g_g16_convolution_layer_dataset_8h_source.xhtml#l00043">VGG16ConvolutionLayerDataset::VGG16ConvolutionLayerDataset()</a>, <a class="el" href="_v_g_g16_convolution_layer_dataset_8h_source.xhtml#l00069">VGG16DirectConvolutionLayerDataset::VGG16DirectConvolutionLayerDataset()</a>, and <a class="el" href="_y_o_l_o_v2_convolution_layer_dataset_8h_source.xhtml#l00043">YOLOV2ConvolutionLayerDataset::YOLOV2ConvolutionLayerDataset()</a>.</p>
<div class="fragment"><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    {</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;        _src_shapes.emplace_back(std::move(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>));</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        _weight_shapes.emplace_back(std::move(weights));</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;        _bias_shapes.emplace_back(std::move(biases));</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;        _dst_shapes.emplace_back(std::move(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>));</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        _infos.emplace_back(std::move(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>));</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -&gt; set_format(Format::S16)</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
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          <td class="memname"><a class="el" href="structarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset_1_1iterator.xhtml">iterator</a> begin </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td> const</td>
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<p>Definition at line <a class="el" href="_convolution_layer_dataset_8h_source.xhtml#l00093">93</a> of file <a class="el" href="_convolution_layer_dataset_8h_source.xhtml">ConvolutionLayerDataset.h</a>.</p>

<p>References <a class="el" href="_convolution_layer_dataset_8h_source.xhtml#l00045">ConvolutionLayerDataset::iterator::iterator()</a>.</p>
<div class="fragment"><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    {</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        <span class="keywordflow">return</span> iterator(_src_shapes.begin(), _weight_shapes.begin(), _bias_shapes.begin(), _dst_shapes.begin(), _infos.begin());</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    }</div></div><!-- fragment -->
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          <td class="memname">int size </td>
          <td>(</td>
          <td class="paramname"></td><td>)</td>
          <td> const</td>
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<p>Definition at line <a class="el" href="_convolution_layer_dataset_8h_source.xhtml#l00098">98</a> of file <a class="el" href="_convolution_layer_dataset_8h_source.xhtml">ConvolutionLayerDataset.h</a>.</p>

<p>References <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00884">arm_compute::test::fixed_point_arithmetic::detail::min()</a>.</p>
<div class="fragment"><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    {</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(_src_shapes.size(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(_weight_shapes.size(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(_bias_shapes.size(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(_dst_shapes.size(), _infos.size()))));</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point&lt; T &gt; min(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00884">FixedPoint.h:884</a></div></div>
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